def search_one_asymmetry(**kwargs):
sess = PINGDataSession() # username/password stored in an env variable for me.
sess.login()
return sess.regress_multistep(X='MRI_cort_area_ctx_supramarginal_AI',
Y='MRI_cort_area_ctx_rostralmiddlefrontal_AI',
**kwargs)
def search_all_pairwise(plot=True, **kwargs):
"""For each pair of variables, look for a significant regression slope."""
sess = PINGDataSession() # username/password stored in an env variable for me.
sess.login()
all_data = compute_all_asymmetries(prefix=['MRI_cort_area', 'MRI_cort_thick',
'MRI_subcort_vol', 'DTI_fiber_vol'])
results = []
keys = list(set(all_data.keys()) - set(('SubjID',)))
for ki in range(len(keys)):
key1 = keys[ki]
if skip_key(key1):
continue
for ii in range(ki + 1, len(keys)):
key2 = keys[ii]
if skip_key(key2) or skip_pairing(key1, key2):
continue
try:
result = sess.regress_multistep(key1, key2, plot=plot, **kwargs)
results.append(result)
except Exception as e:
print("Exception: %s" % str(e)) # force print
else:
if plot:
if result is None:
plt.close()
plt.close()
else:
plt.show()
